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Harvesting Real Time Traffic Information from Twitter

Procedia EngineeringPublished 1 January 2012Open access
Raymondus Kosala, Erwin Adi, Steven Steven
Citations41
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TL;DR

This study attempted to extract road traffic information from Twitter timelines for real time mapping and proposed an algorithm to measure the traffic information confidence level for the real time traffic mapping system.

Abstract

This article has been removed: please see Elsevier Policy on Article Withdrawal ( http://www.elsevier.com/locate/withdrawalpolicy ). Further to an investigation the International Conference on Advances Science and Contemporary Engineering 2012, Procedia Engineering , Volume 50, has been removed by the publisher due to insufficient assurances by the programme organisers that the professional ethical codes of publishing and standards were applied consistently. Where the copyright in individual papers was transferred to the publisher, these transfers are now considered null and void, and revert back to the authors. For author enquiries please contact: [email protected] .

Keywords

Social SciencesComputer SciencePhysics and Astronomy